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07/28/2023
DISCO: Achieving Low Latency and High Reliability in Scheduling of Graph-Structured Tasks over Mobile Vehicular Cloud
To effectively process data across a fleet of dynamic and distributed ve...
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06/25/2023
Matching-based Hybrid Service Trading for Task Assignment over Dynamic Mobile Crowdsensing Networks
By opportunistically engaging mobile users (workers), mobile crowdsensin...
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04/18/2023
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks
In federated learning (FL), distributed clients can collaboratively trai...
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03/27/2023
Collaborative Authentication for 6G Networks: An Edge Intelligence based Autonomous Approach
The conventional device authentication of wireless networks usually reli...
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11/06/2022
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments
Deep learning-based physical-layer secret key generation (PKG) has been ...
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10/10/2022
Seamless Service Provisioning for Mobile Crowdsensing: Towards Integrating Forward and Spot Trading Markets
The challenge of exchanging and processing of big data over Mobile Crowd...
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08/25/2022
Overbook in Advance, Trade in Future: Computing Resource Provisioning in Hybrid Device-Edge-Cloud Networks
The big data processing in distributed Internet of Things (IoT) systems ...
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08/08/2022
Learning-Based Client Selection for Federated Learning Services Over Wireless Networks with Constrained Monetary Budgets
We investigate a data quality-aware dynamic client selection problem for...
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06/13/2022
Auction-Promoted Trading for Multiple Federated Learning Services in UAV-Aided Networks
Federated learning (FL) represents a promising distributed machine learn...
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06/09/2022
Long-Term or Temporary? Hybrid Worker Recruitment for Mobile Crowd Sensing and Computing
Mobile crowd sensing and computing (MCSC) enables heterogeneous users (w...
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06/04/2022
Hybrid Architectures for Distributed Machine Learning in Heterogeneous Wireless Networks
The ever-growing data privacy concerns have transformed machine learning...
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08/23/2021
Multi-Dimensional Multiple Access with Resource Utilization Cost Awareness for Individualized Service Provisioning in 6G
The increasingly diversified Quality-of-Service (QoS) requirements envis...
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08/16/2021
Unifying Futures and Spot Market: Overbooking-Enabled Resource Trading in Mobile Edge Networks
Securing necessary resources for edge computing processes via effective ...
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07/19/2021
Fast polar codes for terabits-per-second throughput communications
Targeting high-throughput and low-power communications, we implement two...
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01/04/2021
Let' s Trade in The Future! A Futures-Enabled Fast Resource Trading Mechanism in Edge Computing-Assisted UAV Networks
Mobile edge computing (MEC) has emerged as one of the key technical aspe...
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01/04/2021
Resource Trading in Edge Computing-enabled IoV: An Efficient Futures-based Approach
Mobile edge computing (MEC) has become a promising solution to utilize d...
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12/30/2020
Radio Frequency Fingerprint Identification for LoRa Using Spectrogram and CNN
Radio frequency fingerprint identification (RFFI) is an emerging device ...
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09/30/2020
Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO
Time-division-duplexing massive multiple-input multiple-output (MIMO) sy...
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08/03/2020
Energy-aware Graph Job Allocation in Software Defined Air-Ground Integrated Vehicular Networks
The software defined air-ground integrated vehicular (SD-AGV) networks h...
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04/21/2020
Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of G_N-Coset Codes
Recently, a parallel decoding framework of G_N-coset codes was proposed....
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04/21/2020
Toward Terabits-per-second Communications: A High-Throughput Hardware Implementation of G_N-Coset Codes
Recently, a parallel decoding algorithm of G_N-coset codes was proposed....
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04/04/2020
Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV
Software-defined internet of vehicles (SDIoV) has emerged as a promising...
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03/27/2020
A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks
Vehicular cloud computing has emerged as a promising solution to fulfill...
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03/19/2020
A Soft Cancellation Decoder for Parity-Check Polar Codes
Polar codes has been selected as the channel coding scheme for 5G new ra...
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10/03/2019
Intelligent Network Slicing for V2X Services Towards 5G
Benefiting from the widely deployed LTE infrastructures, the fifth gener...
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09/29/2019
Futures-Based Resource Trading and Fair Pricing in Real-Time IoT Networks
Technology advancements on sensing, communications, and computing direct...
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08/28/2019
Intelligent Active Queue Management Using Explicit Congestion Notification
As more end devices are getting connected, the Internet will become more...
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07/28/2019
Fast Authentication and Progressive Authorization in Large-Scale IoT: How to Leverage AI for Security Enhancement?
Security provisioning has become the most important design consideration...
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07/22/2019
Realistic Channel Models Pre-training
In this paper, we propose a neural-network-based realistic channel model...
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06/30/2019
Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks
The fifth generation (5G) and beyond wireless networks are critical to s...
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06/19/2019
Multi-user Resource Control with Deep Reinforcement Learning in IoT Edge Computing
By leveraging the concept of mobile edge computing (MEC), massive amount...
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05/07/2019
Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration
On the time-varying channel estimation, the traditional downlink (DL) ch...
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04/30/2019
On the Construction of G_N-coset Codes for Parallel Decoding
In this paper, we propose a type of G_N-coset codes for a highly paralle...
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02/25/2019
Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
Short-term road traffic prediction (STTP) is one of the most important m...
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02/22/2019
Learning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks
The key to successive cancellation (SC) flip decoding of polar codes is ...
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01/14/2019
Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models
Accurate prediction of fading channel in future is essential to realize ...
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08/07/2018
Learning-Aided Physical Layer Authentication as an Intelligent Process
Performance of the existing physical layer authentication schemes could ...
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08/06/2018
A Flip-Syndrome-List Polar Decoder Architecture for Ultra-Low-Latency Communications
We consider practical hardware implementation of Polar decoders. To redu...
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03/20/2018
Energy-Efficient Joint Offloading and Wireless Resource Allocation Strategy in Multi-MEC Server Systems
Mobile edge computing (MEC) is an emerging paradigm that mobile devices ...
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01/16/2018
Joint CSI Estimation, Beamforming and Scheduling Design for Wideband Massive MIMO System
This paper proposes a novel approach for designing channel estimation, b...
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01/12/2018